使用onnxruntime1.11.0部署了Unet模型。 在使用c++多线程时会在session.run()的位置报错。 而且报错的时机是随机的,有时不报错有时报错。 所有变量都是本地声明的,应该也不会产生冲突。 To reproduce //model wchar_t* model_path = this->set_model_path(index); Ort::
│ onnxruntime_cxx_api.h │ onnxruntime_cxx_inline.h │ onnxruntime_c_api.h │ onnxruntime_run_options_config_keys.h │ onnxruntime_session_options_config_keys.h │ provider_options.h │ tensorrt_provider_factory.h │ └─lib onnxruntime.dll onnxruntime.lib onnxruntime.pdb onn...
Python SDK API支持: C++ SDK API支持: YOLOv8对象检测 + ONNXRUNTIME深度学习 C++源码如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #include <onnxruntime_cxx_api.h> #include <opencv2/opencv.hpp> #include <fstream> using namespace cv; using namespace std; int main(int argc, cha...
main.cpp #include<iostream>#include<array>#include<algorithm>#include"onnxruntime_cxx_api.h"intmain(intargc,char*argv[]){// --- define model path#if _WIN32constwchar_t*model_path=L"./model.onnx";// you can use string to wchar_t* function to convert#elseconstchar*model_path="./...
#include"onnxruntime_cxx_api.h"Ort::Envenv;std::stringweightFile="./xxx.onnx";Ort::SessionOptionssession_options;OrtCUDAProviderOptionsoptions;options.device_id=0;options.arena_extend_strategy=0;//options.cuda_mem_limit = (size_t)1 * 1024 * 1024 * 1024;//onnxruntime1.7.0options.gpu...
// file path: include/onnxruntime/core/session/onnxruntime_cxx_api.htemplate<typenameTOp,typenameTKernel>structCustomOpBase: OrtCustomOp {CustomOpBase() { OrtCustomOp::version = ORT_API_VERSION; OrtCustomOp::CreateKernel = [](constOrtCustomOp* this_,constOrtApi* api,constOrtKernelInfo* ...
#include "core/session/onnxruntime_cxx_api.h" #include "core/session/onnxruntime_c_api.h" #ifdef ANDROID_PLATFORM #include "providers/nnapi/nnapi_provider_factory.h" #endif #include <chrono> #include <iostream> #include <sstream>
Describe the bug I currently have a simple project where the code will simply print hello word. I am unable to compile the executable because the #include <onnxruntime_cxx_api.h> has several seemingly syntax issues that I believe is a co...
1. 设备 2. 环境 sudo apt-get install protobuf-compiler libprotoc-dev export PATH=/usr/local/cuda/bin:${PATH} export CUDA_PATH=/usr/local/cuda export cuDNN_PATH=/usr/lib/aarch64-linux-gnu export CMAKE_ARGS="-DONNX_CUSTOM_PROTOC_EXECUTABLE=/usr/bin/protoc" ...
#include<assert.h>#include<vector>#include<onnxruntime_cxx_api.h>intmain(intargc,char*argv[])...